1 citations · 3 across the 4 of their papers we have counts for
4 papers
HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication
Luke Puppo, Weng-Keen Wong, Bechir Hamdaoui +1
New capabilities in wireless network security have been enabled by deep learning, which leverages patterns in radio frequency (RF) data to identify and authenticate devices. Open-s…
Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences between Pretrained Generative Models
Matthew L. Olson, Shusen Liu, Rushil Anirudh +3
Generative Adversarial Networks (GANs) are notoriously difficult to train especially for complex distributions and with limited data. This has driven the need for tools to audit tr…
ADL-ID: Adversarial Disentanglement Learning for Wireless Device Fingerprinting Temporal Domain Adaptation
Abdurrahman Elmaghbub, Bechir Hamdaoui, Weng-Keen Wong
As the journey of 5G standardization is coming to an end, academia and industry have already begun to consider the sixth-generation (6G) wireless networks, with an aim to meet the…
Tweak: Towards Portable Deep Learning Models for Domain-Agnostic LoRa Device Authentication
Jared Gaskin, Bechir Hamdaoui, Weng-Keen Wong
Deep learning based device fingerprinting has emerged as a key method of identifying and authenticating devices solely via their captured RF transmissions. Conventional approaches…